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作 者:陈倩 高钰莹 易松 CHEN Qian,GAO Yuying,YI Song(School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China)
机构地区:[1]昆明理工大学信息工程与自动化学院,云南昆明650500
出 处:《电子科技》2018年第10期22-28,共7页Electronic Science and Technology
基 金:国家自然科学基金(61262040)
摘 要:在智能电网中,通过收集和使用细粒度电表数据,可以有效推断用户的活动和行为模式。针对存在敏感数据泄露的严重问题,通过数据隐藏,虽可以实现对用户隐私的保护,却降低了分布状态估计能力。由此,文中提出一种仪表数据混淆算法来保护具有执行分布状态估计能力的消费者隐私。首先在基于802. 11s的无线网状网络中,由网关创建混淆向量;然后通过引入多个网关的方式将混淆值进行分配;最后对混淆测量值进行计算和传输,所得混淆值使仪表读数模糊化。此方法既有效保护了消费者隐私免受窃听者和公用事业公司的影响,又保持了公用事业公司使用数据进行状态估计的能力。对比基线、基准符号、基准秒和反应性混淆,仿真结果表明,数据混淆法在数据包传输率,数据吞吐量和延迟方面都有性能提升。In the smart grid, the user's activity and behavior patterns can be ettectively interred by collectingand using fine - grained meter data. For the serious problem of the existence of sensitive data leakage, although theprotection of users' privacy can be realized through data hiding, it reduces the ability of distribution state estimation.In this study, a kind of instrument data confuse algorithm was proposed to protect the privacy of consumers with the a-bility to estimate the distribution of states. First of all, based on 802.11 s wireless mesh network, the obfuscation vec-tor was created by the gateway. The confusion was then allocated by introducing multiple gateways. Finally, the ob-fuscation value was calculated and transmitted, and the obfuscation value obscured the meter reading. This approachettectively protected the privacy of consumers from eavesdroppers and utility companies, while maintaining the utility'sability to use the data for state estimation. Compared with baseline, baseline symbol, baseline second and reactiveconfusion, simulation results showed that data confusion had a pertomlance improvement in packet transmission ratio,data throughput and latency.
关 键 词:高级计量基础设施 数据混淆分布状态估计 隐私保护 智能电网
分 类 号:TN929.5[电子电信—通信与信息系统]
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